To achieve good scalability performance on the HPC scientific applications typically involves good understanding of the workload through performing profile analysis, and comparing behaviors of using different hardware which pinpoint bottlenecks in different areas of the HPC cluster. In this session, a selection of HPC applications will be shown to demonstrate various methods of profiling and analysis to determine the bottleneck, and the effectiveness of the tuning to improve on the application performance.”

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In this podcast, the Radio Free HPC team goes off the supercomputing rails a bit with a discussion on digital immortality. "A new company called Nectome will reportedly archive your mind for future uploading to a machine. While the price of $10K seems reasonable enough, they do have to kill you to complete the process." [Read More...]

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While some domains that rely on computing systems are satisfied with the performance gains that are continuously delivered from processor manufacturers, others require performance that can only be attained through massive parallelism. High-performance computing is for those that need the highest performance in order to solve many of today’s most difficult scientific challenges.